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Inductive fuzzy classification in marketing analytics [electronic resource]

Inductive fuzzy classification in marketing analytics [electronic resource]

자료유형
E-Book(소장)
개인저자
Kaufmann, Michael.
서명 / 저자사항
Inductive fuzzy classification in marketing analytics [electronic resource] / Michael Kaufmann.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xx, 125 p.) : ill.
총서사항
Fuzzy management methods,2196-4130
ISBN
9783319058610
요약
To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic, and the concept of likelihood, and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.
일반주기
Title from e-Book title page.  
내용주기
A Gradual Concept of Truth -- Fuzziness and Induction -- Analytics and Marketing -- Prototyping and Evaluation -- Precisiating Fuzziness by Induction.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Marketing --Mathematical models. Fuzzy logic.
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100 1 ▼a Kaufmann, Michael.
245 1 0 ▼a Inductive fuzzy classification in marketing analytics ▼h [electronic resource] / ▼c Michael Kaufmann.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xx, 125 p.) : ▼b ill.
490 1 ▼a Fuzzy management methods, ▼x 2196-4130
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a A Gradual Concept of Truth -- Fuzziness and Induction -- Analytics and Marketing -- Prototyping and Evaluation -- Precisiating Fuzziness by Induction.
520 ▼a To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic, and the concept of likelihood, and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Marketing ▼x Mathematical models.
650 0 ▼a Fuzzy logic.
830 0 ▼a Fuzzy management methods.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-05861-0
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 658.80015118 등록번호 E14033392 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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